Flagsmith vs GrowthBook
Five of fourteen models named Flagsmith first on the direct prompt; zero named GrowthBook. Flagsmith was named by fourteen of the fourteen models and GrowthBook by thirteen and Flagsmith carries 57 labels and GrowthBook 43, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the feature flags page.
By framing
FlagsmithFirst choices, of fourteen modelsGrowthBook
Across every category in the October 2026 Edition, Flagsmith and GrowthBook were named in the same answer 106 times, of the 175 answers naming Flagsmith and the 118 naming GrowthBook. In those answers GrowthBook took the first choice five times and Flagsmith twenty-two.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | | |
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | | | |
Flagsmith GrowthBook first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flagsmith on the left and GrowthBook on the right.The direct prompt
Flagsmith first, GrowthBook an alternative
5 of 14 modelsGrowthBook was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Flagsmith32%#1 of 8GrowthBook7%#4 of 8Flagsmith25%#1 of 8GrowthBook9%#6 of 8Flagsmith0%#5 of 9GrowthBook0%#6 of 9What the models said about Flagsmith
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“The free cloud tier is narrow for team collaboration. Documentation notes a default security posture to consider” Muse Glimmer 30B · negative prompt · soft negative
“Open-source tools like Unleash and Flagsmith can introduce complexities during setup and ongoing maintenance” Claude Haiku 4.5 · negative prompt · soft negative
“Free cloud tier available (though limits are tight for teams)” DeepSeek V4 Flash · budget prompt · soft negative
“Flagsmith is a good fit for mid-market engineering teams that want feature flags and remote configuration in a single tool” Claude Haiku 4.5 · direct prompt · first choice
“The Best All-Around Value: Flagsmith ... widely considered the best "low friction" option for startups and small teams” Qwen 3.7 Flash · budget prompt · first choice
“If you want a simple, cost-effective, and flexible feature flag platform, Flagsmith is a top choice.” Mistral Small · direct prompt · first choice
What the models said about GrowthBook
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“could be Flagsmith or GrowthBook, as they offer self-hosted alternatives with a typical budget of $0–$6000/month” Llama 4 Maverick · budget prompt · first choice
“For a mid-sized B2B company, GrowthBook is the strongest all-around recommendation.” DeepSeek V4 Flash · paraphrase prompt · first choice
“If you want a free, open-source option, GrowthBook is a great choice.” Mistral Small · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.